Sifflet
SiffletReviews from AWS customer
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Reliable Tool for Data Quality and Governance
What do you like best about the product?
Sifflet provides an end-to-end view of data health. The lineage feature is particularly powerful it clearly shows where an issue originates and how it impacts downstream systems.
What do you dislike about the product?
Pricing can feel high for smaller teams, though the overall value justifies the cost for enterprises handling large-scale data.
What problems is the product solving and how is that benefiting you?
It’s significantly reduced reporting errors and improved our audit readiness. We now trust our financial dashboards fully.
Comprehensive Data Observability with Smart Alerts
What do you like best about the product?
Sifflet gives us deep visibility into our data pipelines and proactively detects anomalies before they affect reports. The dashboard is intuitive, and the integrations with Snowflake and dbt are seamless.
What do you dislike about the product?
The alert settings can be slightly overwhelming for new users a guided setup wizard for different data teams would make it even easier to adopt.
What problems is the product solving and how is that benefiting you?
It saves hours of manual validation and helps us maintain trust in analytics. Our data team can now focus on improvement rather than firefighting errors.
Streamlined Our Data Workflows and Boosted Confidence
What do you like best about the product?
Sifflet has made managing data quality incredibly simple. The automated checks and alerting system help us detect inconsistencies instantly, without relying on manual audits. I also appreciate how well it integrates with our data warehouse setup took less than a day, and we’ve been running smoothly ever since. The lineage visualization is extremely useful for explaining data flow to business users.
What do you dislike about the product?
Honestly, not much to complain about. Sometimes, the refresh rate for larger dashboards could be a bit faster, but that’s expected with detailed monitoring tools.
What problems is the product solving and how is that benefiting you?
Before Sifflet, verifying data freshness across different sources used to take hours. Now, it’s automatic the tool notifies us if a data pipeline breaks or an update is delayed. It’s improved both speed and reliability of our reporting, which has been a major win for the analytics team.
A Smart Platform That Catches Data Issues Before We Do
What do you like best about the product?
Sifflet stands out for its proactive monitoring. It alerts us about potential data quality issues before they cause any disruption. I love the way it visualizes anomalies you can instantly see when and where something went wrong. The interface feels very natural, and setting up monitors for new data assets takes just a few minutes.
What do you dislike about the product?
The only downside is that the alert configuration panel could use a bit more flexibility for complex workflows. Still, it’s a small issue considering how much value we get overall.
What problems is the product solving and how is that benefiting you?
Before using Sifflet, identifying data drift or broken transformations was mostly reactive. Now, the system automatically flags irregularities and provides detailed insights so our engineers can respond faster. It’s improved trust in our analytics and reduced incident investigation time by nearly half.
Reliable Data Observability Platform That Builds Trust
What do you like best about the product?
Sifflet makes it easy to understand what’s happening across our data pipelines. The automated anomaly detection and freshness alerts save us hours of manual validation every week. I especially like the lineage view it helps me quickly identify which tables or dashboards are impacted when an upstream issue occurs. The interface feels clean and intuitive.
What do you dislike about the product?
Sometimes alerts can feel a bit too sensitive, especially right after onboarding new data sources. It took a bit of fine-tuning to get the alert thresholds right. Apart from that, I’ve had a great experience so far.
What problems is the product solving and how is that benefiting you?
Before Sifflet, our analytics team used to spend a lot of time chasing down data discrepancies. Now, we get notified as soon as a problem arises, and the lineage tracking makes root-cause analysis much faster. Our reports are more reliable, and our business users now trust the data they see.
Gaining Confidence in Our Data Pipeline with Sifflet
What do you like best about the product?
Sifflet gives us a unified and transparent view into our entire data pipeline. The anomaly detection, freshness checks, and lineage visualization work seamlessly together, so we no longer have to jump between multiple tools. The real-time alerts and clean dashboard have helped our team catch issues before they affect downstream reports.
What do you dislike about the product?
The initial setup in our complex environment took longer than we expected. Some integrations and custom monitor configurations required trial and error, and a few parts of the UI/dashboard customization could be improved.
What problems is the product solving and how is that benefiting you?
Earlier, our data quality issues often surfaced too late impacting business decisions and requiring emergency fixes. With Sifflet, we are now proactively monitoring data health, tracing root causes through lineage, and collaborating better across business and engineering teams. This has improved stakeholder trust, reduced incident response time, and freed up engineers for higher-value work.
Reliable Data Quality Control for Our Entire Team
What do you like best about the product?
Sifflet makes it incredibly easy to monitor and maintain data quality across multiple data pipelines. I really like the way it centralizes all data incidents, coverage, and tests into one unified dashboard. The automated alerting feature is a huge plus our team gets notified instantly when an issue arises, which saves us hours of manual checking each week.
What do you dislike about the product?
Some configuration options for custom monitors could be a bit more flexible. It’s not a big problem, but adding more templates for specific data types would make setup even faster for large teams.
What problems is the product solving and how is that benefiting you?
We use Sifflet to ensure data consistency across our analytics workflows. Before using it, we struggled with undetected schema changes and missing records. Now, everything is tracked and verified automatically. It’s given our engineers and analysts more confidence in the data and significantly reduced time spent debugging issues.
Keeps Our Data Flow Smooth and Transparent
What do you like best about the product?
The best part about Sifflet is how clearly it shows where data comes from and how it moves through our systems. The lineage view makes it easy for both technical and business teams to trace issues. We also love that the platform automatically tracks data incidents and notifies us in real time.
What do you dislike about the product?
The dashboard can take a few seconds longer to load when handling multiple projects, but it’s not a dealbreaker it still runs more smoothly than other tools we’ve tried.
What problems is the product solving and how is that benefiting you?
We use Sifflet to keep track of financial data transformations across multiple departments. It has improved data accuracy and transparency, especially during audits. Our analysts now have full confidence in the datasets they use for reporting.
Reliable Data Observability with Excellent Alerting and Automation
What do you like best about the product?
Sifflet gives us full visibility into our data pipelines with minimal setup. The anomaly detection is smart and actually useful we catch issues before they affect reports. Integrations with Snowflake, dbt, and Looker were smooth, and the alert system via Slack keeps everyone updated in real time.
What do you dislike about the product?
The UI could use a few more customization options for dashboard layouts, but overall, it’s clean and easy to use.
What problems is the product solving and how is that benefiting you?
Before Sifflet, data issues would go unnoticed until someone reported them. Now, our team detects and resolves anomalies automatically. This has improved data trust, reduced downtime, and saved hours every week that used to be spent troubleshooting broken pipelines.
Simple to Use, Great for Keeping Our Data Reliable
What do you like best about the product?
Sifflet helps us stay on top of our data health without having to jump between tools. The UI is clean and easy to understand, and I can quickly check if something is off in our pipelines. The automated monitoring saves us a lot of time during reporting weeks.
What do you dislike about the product?
Sometimes the alerts come a bit delayed when we have a large data refresh, but overall it’s not a big deal since it still gives us full visibility after the sync.
What problems is the product solving and how is that benefiting you?
We use Sifflet to monitor our ETL jobs and warehouse tables. It’s helped reduce manual checks and catch schema changes faster before they break dashboards. Our data team can now focus more on improving reports instead of chasing data quality issues.
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